Street view image (SVI) is becoming one of the most essential proximity sensing data for urban land-use study. Because of the highlynature of their labels (e.g., commercial area), straight usage of end-to-end visual models often perform poorly. Recently proposed 'bottom-up and top-down'...
there is a scarcity of understanding of nighttime safety despite the fast-growing body of urban scene auditing research based on daytime street view imagery (SVI). To fill
With the prevalence of street-view imagery (SVI) thanks to Google Street View and the upsurge of image understanding algorithms, the automation and efficiency of inventory collection have drastically increased. However, the localization accuracy of SVI based methods is confined to meter-level and the...
Integrating mobile monitoring data with street view images (SVIs) holds promise for predicting local air pollution. However, algorithms, sampling strategies, and image quality introduce extra errors due to a lack of reliable references that quantify their effects. To bridge this gap, we employed ...
However, there is a scarcity of understanding of nighttime safety despite the fast-growing body of urban scene auditing research based on daytime street view imagery (SVI). To fill the gap, this study collected 鈭0 pairwise day-and-night SVIs to train a day-to-night (D2N) SVI generator...
adoption strengths; artificial intelligence; building environment; critical success factors; computer vision; deep learning; street view image; visual analytics1. Introduction SVI is an innovative type of geographic data used for sensing the physical environment of cities [1]. SVI enables users to ...
Urban Neighbourhood Environment Assessment Based on Street View Image Processing: A Review of Research Trends. Environ. Chall. 2021, 4, 100090. [Google Scholar] [CrossRef] Meng, L.; Wen, K.-H.; Zeng, Z.; Brewin, R.; Fan, X.; Wu, Q. The Impact of Street Space Perception Factors ...
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street view image (SVI)machine learningBeijingPredicting urban-scale carbon emissions (CEs) is crucial in drawing implications for various urgent environmental issues, including global warming. However, prior studies have overlooked the impact of the micro-level street environment, which might lead to ...
street view imagelocation semanticsland-use classificationLand-use maps are instrumental to inform urban planning and environmental research. Street view images (SVIs) have shown great potential for automated land-use classification for land-use mapping. However, previous studies overlooked SVI-derived ...